Evidence map›Paper›PMID 36241695›Full record

SynthesisCommunications biology2022

A comprehensive transcriptomic comparison of hepatocyte model systems improves selection of models for experimental use.

Arif Ibrahim Ardisasmita, Imre F Schene, Indi P Joore, Gautam Kok, Delilah Hendriks, Benedetta Artegiani, Michal Mokry, Edward E S Nieuwenhuis, Sabine A Fuchs

Abstract readSystematic Review
In one paragraph

Synthesis in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  6. Organoids for Metabolic Disease Modeling.Journal of inherited metabolic disease · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Arif Ibrahim Ardisasmita *Division of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands.ORCID 0000-0001-8527-4585
Imre F Schene *Division of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands.ORCID 0000-0001-8511-299X
Indi P Joore *Division of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands.
Gautam Kok *Division of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands.
Delilah HendriksHubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht, the Netherlands.
Benedetta ArtegianiPrincess Maxima Center, 3584 CS, Utrecht, the Netherlands.
Michal MokryDivision of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands.ORCID 0000-0002-5298-4852
Edward E S NieuwenhuisDivision of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands.
Sabine A FuchsDepartment of Metabolic Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA, Utrecht, the Netherlands. S.Fuchs@umcutrecht.nl.ORCID 0000-0001-9147-2406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The myriad of available hepatocyte in vitro models provides researchers the possibility to select hepatocyte-like cells (HLCs) for specific research goals. However, direct comparison of hepatocyte models is currently challenging. We systematically searched the literature and compared different HLCs, but reported functions were limited to a small subset of hepatic functions. To enable a more comprehensive comparison, we developed an algorithm to compare transcriptomic data across studies that tested HLCs derived from hepatocytes, biliary cells, fibroblasts, and pluripotent stem cells, alongside primary human hepatocytes (PHHs). This revealed that no HLC covered the complete hepatic transcriptome, highlighting the importance of HLC selection. HLCs derived from hepatocytes had the highest transcriptional resemblance to PHHs regardless of the protocol, whereas the quality of fibroblasts and PSC derived HLCs varied depending on the protocol used. Finally, we developed and validated a web application (HLCompR) enabling comparison for specific pathways and addition of new HLCs. In conclusion, our comprehensive transcriptomic comparison of HLCs allows selection of HLCs for specific research questions and can guide improvements in culturing conditions.

Indexed as

Induced Pluripotent Stem CellsPluripotent Stem CellsCell DifferentiationHepatocytesHumansTranscriptome

Identifiers

PMID36241695
PMCPMC9568534

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.